This repo contains the final assignments of the Data Analyst bootcamp by Workearly. Here, I used Python and SQL to clean, transform, and analyze healthcare, bioinformatics and finance datasets. I also created clear figures to visualize the findings using matplotlib, seaborn, and plotly.
- DrugAge: the impact of nutraceuticals on animal lifespan
- Cancer research analysis
- Longevity gene variant analysis
- Covid testing analysis
- Liquor store sales analysis
- Pandas for data cleaning and transformation
- Matplotlib and seaborn for data visualization
- Plotly for interactive visualizations
- Jupyter notebook for creating an interactive report
Install dependencies via pip:
pip install -r requirements.txt